Q1 .bA sample blind drunk is an approximation of true disavow or population plastered . The error is a touchstone of the difference between true mean and sample mean on either side i .e . plus as well as minus side . Therefore , ture instruct of those seeking ouster of Pitcher could be anything in 51 .5 to 58 .5Q2 . bFraction of students taking exam for entire population (0 .45 2200 0 .40 2100 (2200 2100 0 .4256Taking this as the fraction for the sample of 150 studentsThe respect number of students taking exam 150 0 .4256 63 .84 64Q3 . d Q4 . dThis is simply because plan B offers a chance upon sample for the studyQ5 . eQ6 . eFor 80th percentile data , Area under(a) figure curve 0 .80 - 0 .50 0 .30 .Value of z corresponding to this data value will be 0 .85 (from prescript distribution data table Q7 .aQ8 .aQ9 .bQ10 .cDeg ree of freedom 2n -2 2 10 - 2 18Q11 .dResults of this experiment will be nearly germane(predicate) and reliableQ12 .bQ13 .bQ14 .
cStudent s score from the regression equation 273 .5 91 .2 3 547 .1Student s veritable score 510Therefore , residual score for this student 510 - 547 .1 -37 .1Q15 . eQ16 .a Q17 .eQ18 .bQ19 .dQ20 .bP (Art 0 .90 0 .50 0 .10 0 .80 0 .45 0 .08 0 .53Q21 . e Q22 . cQ23 .aQ24 .cQ25 .eQ26 .dThe critical value of z is -2 .57 forto be less than 0 .35Therefore , it can not be think that0 .35Q27 .bQ28 .cFrom given conditions ,The nigh option is cQ29 .eQ30 .b Q31 .aQ32 .cQ33 .aQ34 .aQ35 .bQ36 .eQ37 .eQ38 .bQ39 .b40 .c...If you want to overhear a full essay, put tog! ether it on our website: BestEssayCheap.com
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